/*
 * Copyright (c) 2022 Huawei Device Co., Ltd.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { isCollection, isMatrix } from './is.js';
import { IndexError } from '../error/IndexError.js';
import { arraySize } from './array.js';
import { _switch } from './switch.js';
/**
 * Test whether an array contains collections
 * @param {Array} array
 * @returns {boolean} Returns true when the array contains one or multiple
 *                    collections (Arrays or Matrices). Returns false otherwise.
 */

export function containsCollections(array) {
  for (var i = 0; i < array.length; i++) {
    if (isCollection(array[i])) {
      return true;
    }
  }

  return false;
}
/**
 * Recursively loop over all elements in a given multi dimensional array
 * and invoke the callback on each of the elements.
 * @param {Array | Matrix} array
 * @param {Function} callback     The callback method is invoked with one
 *                                parameter: the current element in the array
 */

export function deepForEach(array, callback) {
  if (isMatrix(array)) {
    array = array.valueOf();
  }

  for (var i = 0, ii = array.length; i < ii; i++) {
    var value = array[i];

    if (Array.isArray(value)) {
      deepForEach(value, callback);
    } else {
      callback(value);
    }
  }
}
/**
 * Execute the callback function element wise for each element in array and any
 * nested array
 * Returns an array with the results
 * @param {Array | Matrix} array
 * @param {Function} callback   The callback is called with two parameters:
 *                              value1 and value2, which contain the current
 *                              element of both arrays.
 * @param {boolean} [skipZeros] Invoke callback function for non-zero values only.
 *
 * @return {Array | Matrix} res
 */

export function deepMap(array, callback, skipZeros) {
  if (array && typeof array.map === 'function') {
    // TODO: replace array.map with a for loop to improve performance
    return array.map(function (x) {
      return deepMap(x, callback, skipZeros);
    });
  } else {
    return callback(array);
  }
}
/**
 * Reduce a given matrix or array to a new matrix or
 * array with one less dimension, applying the given
 * callback in the selected dimension.
 * @param {Array | Matrix} mat
 * @param {number} dim
 * @param {Function} callback
 * @return {Array | Matrix} res
 */

export function reduce(mat, dim, callback) {
  var size = Array.isArray(mat) ? arraySize(mat) : mat.size();

  if (dim < 0 || dim >= size.length) {
    // TODO: would be more clear when throwing a DimensionError here
    throw new IndexError(dim, size.length);
  }

  if (isMatrix(mat)) {
    return mat.create(_reduce(mat.valueOf(), dim, callback));
  } else {
    return _reduce(mat, dim, callback);
  }
}
/**
 * Recursively reduce a matrix
 * @param {Array} mat
 * @param {number} dim
 * @param {Function} callback
 * @returns {Array} ret
 * @private
 */

function _reduce(mat, dim, callback) {
  var i, ret, val, tran;

  if (dim <= 0) {
    if (!Array.isArray(mat[0])) {
      val = mat[0];

      for (i = 1; i < mat.length; i++) {
        val = callback(val, mat[i]);
      }

      return val;
    } else {
      tran = _switch(mat);
      ret = [];

      for (i = 0; i < tran.length; i++) {
        ret[i] = _reduce(tran[i], dim - 1, callback);
      }

      return ret;
    }
  } else {
    ret = [];

    for (i = 0; i < mat.length; i++) {
      ret[i] = _reduce(mat[i], dim - 1, callback);
    }

    return ret;
  }
} // TODO: document function scatter


export function scatter(a, j, w, x, u, mark, cindex, f, inverse, update, value) {
  // a arrays
  var avalues = a._values;
  var aindex = a._index;
  var aptr = a._ptr; // vars

  var k, k0, k1, i; // check we need to process values (pattern matrix)

  if (x) {
    // values in j
    for (k0 = aptr[j], k1 = aptr[j + 1], k = k0; k < k1; k++) {
      // row
      i = aindex[k]; // check value exists in current j

      if (w[i] !== mark) {
        // i is new entry in j
        w[i] = mark; // add i to pattern of C

        cindex.push(i); // x(i) = A, check we need to call function this time

        if (update) {
          // copy value to workspace calling callback function
          x[i] = inverse ? f(avalues[k], value) : f(value, avalues[k]); // function was called on current row

          u[i] = mark;
        } else {
          // copy value to workspace
          x[i] = avalues[k];
        }
      } else {
        // i exists in C already
        x[i] = inverse ? f(avalues[k], x[i]) : f(x[i], avalues[k]); // function was called on current row

        u[i] = mark;
      }
    }
  } else {
    // values in j
    for (k0 = aptr[j], k1 = aptr[j + 1], k = k0; k < k1; k++) {
      // row
      i = aindex[k]; // check value exists in current j

      if (w[i] !== mark) {
        // i is new entry in j
        w[i] = mark; // add i to pattern of C

        cindex.push(i);
      } else {
        // indicate function was called on current row
        u[i] = mark;
      }
    }
  }
}